This study examines the influence of knowledge transfer and knowledge conversion on performance of Commercial Banks in Kenya. The study adopted explanatory and cross-sectional survey design. The target population of this study comprised of all the 43 Commercial Banks in Kenya. The unit of observation was the functional area in each bank. Primary data was collected using a semi-structured questionnaire. The questionnaire was hand delivered and collected later by the researcher in order to enhance the response rate. Secondary data was collected using document review and was used to validate information collected from the questionnaire. The response rate in this study was approximately seventy three percent which was considered adequate for making inferences and drawing conclusions. Quantitative data was analyzed using descriptive and inferential statistics. Descriptive statistics included percentages, frequencies, means, and standard deviations while inferential statistics involved regression analysis. Results from quantitative data analysis were presented using figures and tables. The findings of the study established that knowledge conversion and knowledge transfer have positive influence on performance.
| Published in | Science Journal of Business and Management (Volume 3, Issue 6) |
| DOI | 10.11648/j.sjbm.20150306.13 |
| Page(s) | 228-234 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Knowledge Management, Knowledge Transfer, Knowledge Conversion, Organizational Performance
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APA Style
Godfrey M. Kinyua, Stephen M. A. Muathe, James M. Kilika. (2015). Influence of Knowledge Transfer and Knowledge Conversion on Performance of Commercial Banks in Kenya. Science Journal of Business and Management, 3(6), 228-234. https://doi.org/10.11648/j.sjbm.20150306.13
ACS Style
Godfrey M. Kinyua; Stephen M. A. Muathe; James M. Kilika. Influence of Knowledge Transfer and Knowledge Conversion on Performance of Commercial Banks in Kenya. Sci. J. Bus. Manag. 2015, 3(6), 228-234. doi: 10.11648/j.sjbm.20150306.13
AMA Style
Godfrey M. Kinyua, Stephen M. A. Muathe, James M. Kilika. Influence of Knowledge Transfer and Knowledge Conversion on Performance of Commercial Banks in Kenya. Sci J Bus Manag. 2015;3(6):228-234. doi: 10.11648/j.sjbm.20150306.13
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Download@article{10.11648/j.sjbm.20150306.13,
author = {Godfrey M. Kinyua and Stephen M. A. Muathe and James M. Kilika},
title = {Influence of Knowledge Transfer and Knowledge Conversion on Performance of Commercial Banks in Kenya},
journal = {Science Journal of Business and Management},
volume = {3},
number = {6},
pages = {228-234},
doi = {10.11648/j.sjbm.20150306.13},
url = {https://doi.org/10.11648/j.sjbm.20150306.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20150306.13},
abstract = {This study examines the influence of knowledge transfer and knowledge conversion on performance of Commercial Banks in Kenya. The study adopted explanatory and cross-sectional survey design. The target population of this study comprised of all the 43 Commercial Banks in Kenya. The unit of observation was the functional area in each bank. Primary data was collected using a semi-structured questionnaire. The questionnaire was hand delivered and collected later by the researcher in order to enhance the response rate. Secondary data was collected using document review and was used to validate information collected from the questionnaire. The response rate in this study was approximately seventy three percent which was considered adequate for making inferences and drawing conclusions. Quantitative data was analyzed using descriptive and inferential statistics. Descriptive statistics included percentages, frequencies, means, and standard deviations while inferential statistics involved regression analysis. Results from quantitative data analysis were presented using figures and tables. The findings of the study established that knowledge conversion and knowledge transfer have positive influence on performance.},
year = {2015}
}
TY - JOUR T1 - Influence of Knowledge Transfer and Knowledge Conversion on Performance of Commercial Banks in Kenya AU - Godfrey M. Kinyua AU - Stephen M. A. Muathe AU - James M. Kilika Y1 - 2015/11/16 PY - 2015 N1 - https://doi.org/10.11648/j.sjbm.20150306.13 DO - 10.11648/j.sjbm.20150306.13 T2 - Science Journal of Business and Management JF - Science Journal of Business and Management JO - Science Journal of Business and Management SP - 228 EP - 234 PB - Science Publishing Group SN - 2331-0634 UR - https://doi.org/10.11648/j.sjbm.20150306.13 AB - This study examines the influence of knowledge transfer and knowledge conversion on performance of Commercial Banks in Kenya. The study adopted explanatory and cross-sectional survey design. The target population of this study comprised of all the 43 Commercial Banks in Kenya. The unit of observation was the functional area in each bank. Primary data was collected using a semi-structured questionnaire. The questionnaire was hand delivered and collected later by the researcher in order to enhance the response rate. Secondary data was collected using document review and was used to validate information collected from the questionnaire. The response rate in this study was approximately seventy three percent which was considered adequate for making inferences and drawing conclusions. Quantitative data was analyzed using descriptive and inferential statistics. Descriptive statistics included percentages, frequencies, means, and standard deviations while inferential statistics involved regression analysis. Results from quantitative data analysis were presented using figures and tables. The findings of the study established that knowledge conversion and knowledge transfer have positive influence on performance. VL - 3 IS - 6 ER -
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